Evidence map›Paper›PMID 26701301›Full record

ArticleBMC public health2015

Predictors of participation in a telephone-based Acceptance and Commitment Therapy for smoking cessation study.

Yim Wah Mak, Paul H Lee, Alice Yuen Loke

Registry-linked trialAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01652508 (Individual, Telephone-delivered Acceptance and Commitment Therapy for Smoking Cessation in the Primary Healthcare Setting), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01652508 nacompletednot on this map

Individual, Telephone-delivered Acceptance and Commitment Therapy for Smoking Cessation in the Primary Healthcare Setting: Feasibility and Potential Efficacy

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2012 to 2015Enrolled156ConditionsSmoking CessationArmsControl, Acceptance and Commitment Therapy
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Telephone counselling for smoking cessation.The Cochrane database of systematic reviews · 2019
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yim Wah MakSchool of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. yw.mak@polyu.edu.hk.
Paul H LeeSchool of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. paul.h.lee@polyu.edu.hk.
Alice Yuen LokeSchool of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. alice.yuen.loke@polyu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about factors that influence participation in smoking cessation trials among Chinese populations. The aim of this study is to explore the characteristics of individuals who chose to participate and those who chose not to participate in a proactive telephone-based acceptance and commitment therapy program for smoking cessation within a Chinese sample, and to identify predictors of program participation. Understanding the factors that predict participation in smoking cessation trials may allow researchers and healthcare professionals to target their recruitment efforts to increase the enrollment of smokers in smoking cessation programs.

methodsParticipants were proactively recruited from six primary healthcare centers. Current cigarette smokers were screened for eligibility and then invited to complete a baseline questionnaire for the trial. The differences in characteristics between participants and non-participants as well as factors predictive of participation were analyzed using Chi-square tests and logistics regression.

resultsA total of 30,784 clinic attendees were approached. From these, 3,890 (12.6%) smokers were screened and identified. Of the 3,890 smokers, 420 (10.8%) were eligible to participate and completed the baseline questionnaires. The analysis showed that participants (n = 142) and non-participants (n = 278) differed significantly in terms of demographics, smoking-related, and psychological variables. The following characteristics were found to predict program participation: those with a relatively high level of dependence on nicotine (OR = 3.75; 95% CI = 1.25-11.23), those in the contemplation (OR = 7.86; 95% CI = 2.90-21.30) or preparation (OR = 24.81; 95% CI = 8.93-68.96) stages of change, and those who had abstained for one month or less in a previous attempt at quitting (OR = 3.77; 95% CI = 1.68-8.47).

conclusionsThe study shed light on the factors predictive of participation in a counseling-based smoking cessation program among a Chinese population. The results were encouraging, as most significant predictors (e.g., nicotine dependence, stage of change in smoking cessation) can be feasibly addressed or modified with interventions. No significant predictive relationships were found between psycho-social variables or socio-demographic variables and participation. Efforts should be made to increase the enrollment of smokers who are seemingly not yet ready to quit, and to tailor the program to fit the program's participants.

Indexed as

Smoking PreventionAcceptance and Commitment TherapyAdultAgedChinaCounselingFemaleHumansLogistic ModelsMaleMiddle AgedSmokingSmoking CessationSocial SupportSurveys and QuestionnairesTelemedicine

Identifiers

PMID26701301
PMCPMC4690222

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.